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#Not enough memory to open this page in chrome drivers
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#Not enough memory to open this page in chrome windows

A contiguous region divided into 4kb physical pages.

Physical memory - A per-machine abstraction layer internal to the kernel.

A contiguous region divided into 4kb virtual pages.

Virtual memory - A per-process abstraction layer exposed by the kernel.

Any in-depth discussion should occur on a per-platform basis, and use terminology specific to that platform. Warning: This terminology is neither complete, nor precise, when compared to the terminology used by any specific platform. This terminology is intentionally Linux-biased, since that is the platform most readers are expected to be familiar with. This section describes a consistent set of terminology that will be used by this document. Terms and definitionsĮach platform exposes a different memory model. However, they do NOT release swap meaning they will not help prevent OOM scenarios.ĭesigning a freelist structure that conflates this behavior (see this PartitionAlloc bug) will result in a system that only truly reduces resource usage on Unix-like systems. The VirtualAlloc(MEM_RESET), DiscardVirtualMemory(), and OfferVirtualMemory() look temptingly similar and on first glance they even look like they work because they will immediately reduce the amount of physical ram (aka Working Set) a processes uses. However, there is no such API on Windows. Such a page will then be recommitted on demand making it a tempting optimization for data structures with freelists. In Unix systems, there is an madvise() function via which pages that have been committed via usage can be returned to the non-resource consuming state. Because of the commit guarantee difference, “discarding” memory has completely different meanings across platforms. See the following section on “discardable” memory for more info.

#Not enough memory to open this page in chrome windows

Not being aware of this difference can cause architecture choices that have a larger than expected resource impact on Windows and incorrect interpretation for metrics on Windows In Unix variants, usage usually only consumes system resources when pages are touched. Pragmatically this means that in Windows, malloc(10*1024*1024*1024) will immediately prevent other applications from being able to successfully allocate memory thereby causing them to crash or not be able to open. Key gotchas Windows allocation uses resources immediately other OSes use it on first touch.Īrguably the biggest difference for Windows and other OSes is memory granted to a process is always “committed” on allocation. The goal of this document is to give a common set of vocabulary and concepts such that Chromium developers can more discuss questions like the ones above without misunderstanding each other. However, even in macOS, Android, CrOS, and “standard desktop linux” each also have enough divergences (compressed memory, pagefile vs swap partition vs no swap, overcommit settings, memory perssure signals etc) that even answering “how much memory is Chromium using” is hard to do in a uniform manner.

#Not enough memory to open this page in chrome free

For example, it is impossible to return all resources (physical ram as well as swap space) to the OS in a way brings them back on demand which drastically changes the way one can handle free lists. There is at least one major schism between Windows-based machines and more unixy systems. In many of the above, the answer actually changes per operating system variant.

What types of memory does Task Manager/Activity Monitor/top report?.

How are shared libraries accounted for? How big of a penalty is there for each process that shares the memory?.

Is that the same on systems where GPU memory isn't shared with main memory?.

#Not enough memory to open this page in chrome drivers

How are memory resources used by the GPU and drivers accounted for?.

Is it always safe to touch the memory returned by malloc()?.

When memory is free()d, when is it made usable by other applications?.

When Chrome allocates memory, when does it take up swap space?.

Here are some example questions that require a more complex view of memory than malloc/free. Can you give specific examples of how it's harder than malloc/free? Compared to the rest the system, memory is not THAT complicated.

You work on a multi-process browser implementing the web platform with high security guarantees.

Yes, this is complicated stuff.but don't despair. Unfortunately, the distinctions end up being very relevant when working near out of memory conditions or analyzing overall performance when there is any amount of memory pressure this makes crafting and interpreting memory statistics hard.įortunately, the point of this doc is to give succinct background that will help you ramp up on the subtleties to work in this space. There are lots of differences and subtleties that change per operating system and even per operating system configuration.įortunately, these differences mostly disappear when a program is running with sufficient resources. Key Concepts in Chrome Memory What‘s so hard about memory? Isn’t it just malloc and free?